Checkmarx, a prominent leader in agentic application security solutions, has officially launched its completely reimagined Checkmarx One platform, specifically engineered for the emerging era of AI-driven software development. The announcement was made from Paramus, New Jersey, on March 16, 2026, marking a significant advancement in cybersecurity technology.
Addressing the AI Development Security Gap
As artificial intelligence continues to accelerate software creation processes beyond traditional human capabilities and scale, conventional application security models have become fundamentally misaligned with modern development practices. The new Checkmarx One platform directly confronts this challenge by embedding agentic, AI-driven security measures comprehensively across codebases, open-source dependencies, AI assets, and runtime environments. This integrated approach enables organizations to innovate at machine speed while maintaining robust security protocols from the very beginning of the development lifecycle.
Core Architectural Innovations
The redesigned platform features a sophisticated new architecture powered by agentic security agents and AI-native intelligence that spans the entire software and AI supply chain. This represents a paradigm shift from reactive security reviews to proactive, agentic governance systems that align with the accelerated pace of contemporary software development.
Key technological innovations incorporated into the platform include:
- Triage Assist: An autonomous AI agent that intelligently prioritizes vulnerabilities detected in source control systems based on real-world exploitability and contextual risk assessment, allowing development teams to concentrate on genuinely critical issues rather than relying solely on static severity scores.
- Remediation Assist: This component generates review-ready fixes for validated vulnerabilities before code merges occur, significantly accelerating secure software delivery while simultaneously reducing the manual overhead typically associated with remediation processes.
- AI Supply Chain Security: A centralized governance and visibility layer specifically designed for AI components embedded within modern applications. This system discovers hidden AI assets including models, agents, datasets, prompts, and AI-BOM elements, detects model-loading and execution risks, and enforces security policies within existing development workflows.
- AI SAST: A hybrid LLM-powered and query-based analysis engine that expands vulnerability detection capabilities across emerging, unsupported, and AI-generated programming languages, extending security coverage well beyond traditional rules-based scanning methodologies.
- DAST for AI: A next-generation dynamic analysis engine that strengthens runtime protection across both CI/CD pipelines and production environments, supporting flexible testing strategies specifically tailored for AI-accelerated applications.
Executive Perspectives on the Platform
Sandeep Johri, CEO of Checkmarx, emphasized the transformative impact of AI on software development security, stating, "The AI era has fundamentally disrupted the balance between software creation and assurance. Code is now produced at machine speed, but successful security in this environment requires more than speed alone. It requires independent oversight, full visibility across the AI software supply chain, and unified governance that spans code, dependencies, AI assets, and runtime. Agentic application security brings those capabilities together, helping enterprises close the risk gap without slowing innovation."
Jonathan Rende, Chief Product Officer at Checkmarx, further elaborated on the platform's significance, noting, "AI has compressed the software development lifecycle from months to minutes. When applications move that fast, risk compounds just as quickly. Our redesigned agentic platform allows development organizations to innovate at machine speed while securing AI generated applications to protect the business."
Collectively, these innovations represent a comprehensive approach to application security that transitions from traditional reactive models to sophisticated agentic governance systems. This strategic shift is specifically designed to address the unique security challenges presented by AI-driven software development, where speed, complexity, and scale have created new vulnerabilities that demand equally advanced security solutions.
